Implementation of Liver Disease Prediction Using Machine Learning

This work Liver Disease Prediction Using Machine Learning is a machine learning application. In this project, you predict whether the patient contain a liver disease or not using python Jupyter Notebook. To predict presence of liver disease we apply some of the classification techniques. It gives an idea of how machine learning helps in medical field and how classification techniques going to predict liver disease using liver disease data set.

[1]  N. Ramkumar,et al.  Prediction of liver cancer using Conditional probability Bayes theorem , 2017, 2017 International Conference on Computer Communication and Informatics (ICCCI).

[2]  Surekha Mariam Varghese,et al.  Fuzzy logic for Child-Pugh classification of patients with cirrhosis of liver , 2016, 2016 International Conference on Information Science (ICIS).

[3]  J. Anuradha,et al.  Classification and Rule Extraction using Rough Set for Diagnosis of Liver Disease and its Types , 2011 .

[4]  Moloud Abdar,et al.  Rule Optimization of Boosted C5.0 Classification Using Genetic Algorithm for Liver disease Prediction , 2017, 2017 International Conference on Computer and Applications (ICCA).

[5]  David Paper Introduction to Scikit-Learn , 2020 .

[6]  Tanupriya Choudhury,et al.  Liver Disease Detection Due to Excessive Alcoholism Using Data Mining Techniques , 2018, 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE).